docs: def split_batches(self, data, minibatch_size= None):
  		"""Split data into minibatches with a specified size
  
  		Parameters
  		----------
  		data: iterable and indexable
  			List-like data to be split into batches. Includes spark_contextipy matrices and Pandas DataFrames.
  
  		minibatch_size: int
  			Expected sizes of minibatches split from the data.
  
  		Returns
  		-------
  		data_split: list
  			List of minibatches, each entry is a list-like object representing the data subset in a batch.
  		"""
  		if minibatch_size==None: minibatch_size= self.minibatch_size
  		if isinstance(data, list) or isinstance(data, tuple):  len_data= len(data)
  		else:  len_data= data.shape[0]
  		if isinstance(data,pd.DataFrame):
  			data_split = [data.iloc[x * minibatch_size:(x + 1) * minibatch_size] for x in
  						  range(int(ceil(len_data / minibatch_size)))]
  		else:
  			data_split= [data[x* minibatch_size:min(len_data, (x+1)*minibatch_size)]
  						 for x in range(int(ceil(len_data/minibatch_size)))]
  		return data_split